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Exam (elaborations)

Data Analytics and Business Intelligence Key Concepts and Tools Lecture Summary and Exam Preparation Material 2025/ 2026 Comprehensive Review Practice Questions Exam Review Test Bank with Solution

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Strengthen your analytical and technical skills with the Data Analytics and Business Intelligence Key Concepts and Tools Lecture Summary and Exam Preparation Material 2025/ 2026. This comprehensive resource covers data analytics fundamentals, BI tools, dashboards, reporting systems, data visualization, and decision-support techniques. Includes practice questions, exam review materials, and a complete test bank with solution designed to improve understanding, enhance analytical performance, and help students excel in business analytics, IT systems, and data-driven coursework and assessments.

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Institution
Data Analytics And Business Intelligence
Course
Data Analytics and Business Intelligence

Content preview

Data AnalyticsData
and Analytics
BusinessData
and
Intelligence
Analytics
Business–
and
Intelligence
Key
Business
Concepts
–
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Key
andConcepts
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Lecture
Concepts
ToolsSummary
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Exam
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Preparation
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ExamMaterial.pdf
Preparation
and ExamMaterial.pdf
Preparation Material.pdf




Data Analytics and
Business
Intelligence – Key
Concepts and
Tools – Lecture
Summary and
Exam Preparation
Material




Data AnalyticsData
and Analytics
BusinessData
and
Intelligence
Analytics
Business–
and
Intelligence
Key
Business
Concepts
–
Intelligence
Key
andConcepts
Tools–
–Key
and
Lecture
Concepts
ToolsSummary
–and
Lecture
Tools
andSummary
Exam
– Lecture
Preparation
andSummary
ExamMaterial.pdf
Preparation
and ExamMaterial.pdf
Preparation Material.pdf

,Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf




1 Data Analytics 2 Predictive Analytics



3 IMPACT Model - P & A 4 ETL Process



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Terms in this set (136)



Data Analytics The process of evaluating data with the
purpose of drawing conclusions to
address business questions.




Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf

,Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf




Big Data Datasets which are too large and
complex to be analyzed traditionally.


3 V's of Big Data Volume (size), Velocity (frequency),
Variety (different types of data).


IMPACT Model Identify the questions, Master the data,
Perform the test plan, Address and refine
results, Communicate insights, Track
outcomes.


ETL Process Extract, Transform, Load — the process of
obtaining, cleaning, and loading data for
analysis.




Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf

, Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf




Extract (ETL) Determine where to find the data, what
data to ask for, how to ask for it, what
format it needs to be in, and test for
completeness and accuracy.


Transform (ETL) Convert data from one format to
another; involves cleaning, merging,
creating variables, and accuracy testing.


Load (ETL) Identify the correct/best analysis tool
and load the data for analysis.


Querying Asking questions of the data, identifying
anomalies, and performing statistical
analysis.




Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf Data Analytics and Business Intelligence_ Key Concepts and Tools.pdf
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Institution
Data Analytics and Business Intelligence
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Data Analytics and Business Intelligence

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Uploaded on
June 6, 2026
Number of pages
33
Written in
2025/2026
Type
Exam (elaborations)
Contains
Questions & answers

Subjects

  • key concepts tools
  • lecture summary exam prep
  • business analytics study guide
  • data analytics business intelligence
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